How can we improve Microsoft Azure Machine Learning?

NIALM Load Monitoring

Disaggregate load usage into device classifications by evaluating load signatures, device state signatures, and state change signatures from a single meter / switch. Evolve the model with slowly changing signatures to maintain identification of load devices and predict demand, device outages (elevators, etc.) based on learned outage run-up events.

4 votes
Vote
Sign in
(thinking…)
Password icon
Signed in as (Sign out)
You have left! (?) (thinking…)
Anonymous shared this idea  ·   ·  Flag idea as inappropriate…  ·  Admin →

0 comments

Sign in
(thinking…)
Password icon
Signed in as (Sign out)
Submitting...

Feedback and Knowledge Base